DGX A100 vs T4: specs and rental price compared

DGX A100 from $1.24/GPU/hr across 1 provider; T4 from $0.158/GPU/hr across 1 provider. The T4 is 87% cheaper at the entry rate.

DGX A100
$1.24/hr
Lowest / GPU
$1.38/hr
Median / GPU
80 GB
VRAM
Ampere
Architecture
T4
$0.158/hr
Lowest / GPU
$0.158/hr
Median / GPU
16 GB
VRAM
Turing
Architecture

Specs side by side

Spec
DGX A100
T4
VRAM
80 GB
16 GB
Architecture
Ampere
Turing
Compute capability
8.0
7.5
Precisions in hardware
FP32, FP16, BF16, INT4
FP32, FP16, INT4
Interconnect
PCIe
PCIe
Lowest $/GPU/hr
$1.24
$0.158
Median $/GPU/hr
$1.38
$0.158
Providers
1
1
Regions
1
1

Price by provider

Provider
DGX A100 $/GPU/hr
T4 $/GPU/hr
Akash
$0.158
Massed Compute
$1.24

DGX A100 vs T4: common questions

Is the DGX A100 or the T4 cheaper to rent?

On Aquanode's live marketplace the DGX A100 starts at $1.24/GPU/hr (median $1.38/GPU/hr across 1 provider) and the T4 starts at $0.158/GPU/hr (median $0.158/GPU/hr across 1 provider). The T4 is the cheaper of the two at the entry rate, by 87%.

What is the difference between the DGX A100 and the T4?

The DGX A100 has 80 GB of VRAM against the T4's 16 GB; the DGX A100 is an Ampere part and the T4 is Turing (compute capability 8.0 vs 7.5); only the DGX A100 supports BF16 compute. On price, the DGX A100 lists from $1.24/GPU/hr and the T4 from $0.158/GPU/hr.

Which cloud providers offer the DGX A100 and the T4?

1 provider list the DGX A100 (Massed Compute) and 1 list the T4 (Akash), across 1 and 1 region respectively. No single provider currently lists both models.

How much does 1,000 GPU-hours cost on the DGX A100 vs the T4?

At the lowest rates listed today, 1,000 GPU-hours costs $1,243 on the DGX A100 and $158 on the T4 — a difference of $1,085 for the same runtime. Rates are per GPU per hour and update hourly.

How this comparison is calculated

Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.

Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation — not from the marketplace feed. This page regenerates at most once per hour.

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